Triple
T2637015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wokingham |
E59768
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Earley
Earley is a suburban town in Berkshire, England, situated near Reading and known for its residential character and proximity to major transport links.
|
E283653
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Earley | Statement: [Wokingham, hasNeighbouringSettlement, Earley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earley Context triple: [Wokingham, hasNeighbouringSettlement, Earley]
-
A.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
B.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
C.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
D.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
E.
Forristal
Forristal is a surname of Irish origin borne by various individuals, including those in the arts and public life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Earley Triple: [Wokingham, hasNeighbouringSettlement, Earley]
Generated description
Earley is a suburban town in Berkshire, England, situated near Reading and known for its residential character and proximity to major transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Earley Target entity description: Earley is a suburban town in Berkshire, England, situated near Reading and known for its residential character and proximity to major transport links.
-
A.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
B.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
C.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
D.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
E.
Forristal
Forristal is a surname of Irish origin borne by various individuals, including those in the arts and public life.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e3190081908ea828fe79569cc9 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b3e9b48190857ae21022a4fb15 |
completed | March 10, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69af922043508190a9a9ceced2425109 |
completed | March 10, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.